Korean STT

PyTorch implementation of Korean speech-to-text.

References

Papers

1. A Comparison of Sequence-to-Sequence Models for Speech Recognition
2. Deep Speech: Scaling up end-to-end speech recognition [v]
3. Attention-Based Models for Speech Recognition
4. State-of-the-art Speech Recognition With Sequence-to-Sequence Models [v]

Clova Recommendations

1. Listen, Attend and Spell [v]
2. Attention Is All You Need
3. Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
4. Sequence Transduction with Recurrent Neural Networks
5. Exploring RNN-Transducer for Chinese Speech Recognition

Videos

1. Speech Recognition and Deep Learning, Baidu
2. PyTorch Zero to All
3. PyTorch Zero to All(Korean)

Tutorials

1. PyTorch Tutorial(Korean)